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Word Embeddings

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Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

Techniques for learning word embeddings can include Word2Vec, GloVe, and other neural network-based approaches that train on an NLP task such as language modeling or document classification.

<span style="color:grey; opacity: 0.6">( Image credit: Dynamic Word Embedding for Evolving Semantic Discovery )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/uds-lsv/xrsa-awes

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How Familiar Does That Sound? Cross-Lingual Representational Similarity Analysis of Acoustic Word Embeddings

https://github.com/uhh-lt/semeval2019-hhmm

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HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings

https://github.com/ul-fmf/mlfmf-data

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MLFMF: Data Sets for Machine Learning for Mathematical Formalization

https://github.com/umanlp/XWEAT

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Are We Consistently Biased? Multidimensional Analysis of Biases in Distributional Word Vectors

https://github.com/usamakh20/wordEmbeddingsUrdu

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Co-occurrences using Fasttext embeddings for word similarity tasks in Urdu

https://github.com/usc-isi-i2/slang-representation-learning

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A Study of Slang Representation Methods

https://github.com/uvavision/Double-Hard-Debias

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Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation

https://github.com/uw-madison-lee-lab/walip

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Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment

https://github.com/vaishwarya96/GroVE

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Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models

https://github.com/valedica/twec

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Training Temporal Word Embeddings with a Compass

https://github.com/valentinhofmann/dcwe

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Dynamic Contextualized Word Embeddings

https://github.com/valeoai/ZS3

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Zero-Shot Semantic Segmentation

https://github.com/varunakk/imaginator

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IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images

https://github.com/vasevarad/Discourse-Relation-Embeddings

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Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media

https://github.com/vatile/CWS-NAACL2019

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Improving Cross-Domain Chinese Word Segmentation with Word Embeddings

https://github.com/vered1986/NC_Embeddings

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A Systematic Comparison of English Noun Compound Representations

https://github.com/vered1986/lexcomp

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Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition

https://github.com/vgupta123/SCDV-MS

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Improving Document Classification with Multi-Sense Embeddings

https://github.com/vicmak/ProofSeer

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Language Models with Pre-Trained (GloVe) Word Embeddings

https://github.com/vicmak/TurnOfTheScrew

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Sensing Ambiguity in Henry James' "The Turn of the Screw"

https://github.com/vid-koci/kbctransferlearning

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Pre-training and Diagnosing Knowledge Base Completion Models

https://github.com/vietnlp/etnlp

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ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream task

https://github.com/vinid/cade

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Compass-aligned Distributional Embeddings for Studying Semantic Differences across Corpora

https://github.com/vinid/prodb

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BERT Goes Shopping: Comparing Distributional Models for Product Representations

https://github.com/violet-zct/DeMa-BWE

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Density Matching for Bilingual Word Embedding

https://github.com/visual-words/visual-words

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Understanding Visual Concepts Across Models

https://github.com/voriarty/Dual-path-CNN-with-Max-Gated-block-for-Text-Based-Person-Re-identification

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Dual-path CNN with Max Gated block for Text-Based Person Re-identification

https://github.com/vsrana-ai/SmartPhil

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TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study

https://github.com/vveitch/causal-text-embeddings-tf2

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Adapting Text Embeddings for Causal Inference

https://github.com/vyraun/dlp

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On Dimensional Linguistic Properties of the Word Embedding Space

https://github.com/waadalhoshan/zsl4req

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Zero-Shot Learning for Requirements Classification: An Exploratory Study

https://github.com/wadimiusz/diachrony_for_russian

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Tracing cultural diachronic semantic shifts in Russian using word embeddings: test sets and baselines

https://github.com/wasiahmad/cross_lingual_parsing

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Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages

https://github.com/wboag/awecm

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AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus

https://github.com/webis-de/argmining20-social-bias-argumentation

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Argument from Old Man's View: Assessing Social Bias in Argumentation

https://github.com/websail-nu/torch-defseq

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Definition Modeling: Learning to define word embeddings in natural language

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